The Formation of User Model in Scientifi c Recommender Systems
In this paper are considered questions which connected with building of the hybrid user model in scientific recommender systems. Offered model is consistent with conceptual model of the presentation scientific CERIF data (Common European Research Information Format). The authors propose an approach...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EconJournals
2016-08-01
|
| Series: | International Review of Management and Marketing |
| Online Access: | https://www.econjournals.com/index.php/irmm/article/view/2962 |
| _version_ | 1797921682173722624 |
|---|---|
| author | A.I. Guseva V.S. Kireev P.V. Bochkarev D.S. Smirnov S.A. Filippov |
| author_facet | A.I. Guseva V.S. Kireev P.V. Bochkarev D.S. Smirnov S.A. Filippov |
| author_sort | A.I. Guseva |
| collection | DOAJ |
| description |
In this paper are considered questions which connected with building of the hybrid user model in scientific recommender systems. Offered model is consistent with conceptual model of the presentation scientific CERIF data (Common European Research Information Format). The authors propose an approach using semantic networks. The model considers the main entities of a physical data model, received from generally available sources. During creation of model approaches from area of marketing were used, in particular psychographic approach. Quantitative experiment for profiles of the users of the “International congress conference «Information technologies in education»” portal. Results of experiment have confirmed adequacy of the offered models. The offered detail level of model and methods of its representation are directed to further improving of a pertinent of all personalisation algorithms. This study was financially supported according to Federal Target Program “Research and development on priority directions of scientific-technological complex of Russia for 2014-2020” (grant â„– RFMEFI57614X0068).
Keywords: recommender system, formal conceptual CERIF model, hybrid user profile
JEL Classifications: M15, M12, O32
|
| first_indexed | 2024-04-10T14:19:23Z |
| format | Article |
| id | doaj.art-3b5bc29daa6346dab374bbd793de40cf |
| institution | Directory Open Access Journal |
| issn | 2146-4405 |
| language | English |
| last_indexed | 2024-04-10T14:19:23Z |
| publishDate | 2016-08-01 |
| publisher | EconJournals |
| record_format | Article |
| series | International Review of Management and Marketing |
| spelling | doaj.art-3b5bc29daa6346dab374bbd793de40cf2023-02-15T16:09:23ZengEconJournalsInternational Review of Management and Marketing2146-44052016-08-0166SThe Formation of User Model in Scientifi c Recommender SystemsA.I. GusevaV.S. KireevP.V. BochkarevD.S. SmirnovS.A. Filippov In this paper are considered questions which connected with building of the hybrid user model in scientific recommender systems. Offered model is consistent with conceptual model of the presentation scientific CERIF data (Common European Research Information Format). The authors propose an approach using semantic networks. The model considers the main entities of a physical data model, received from generally available sources. During creation of model approaches from area of marketing were used, in particular psychographic approach. Quantitative experiment for profiles of the users of the “International congress conference «Information technologies in education»” portal. Results of experiment have confirmed adequacy of the offered models. The offered detail level of model and methods of its representation are directed to further improving of a pertinent of all personalisation algorithms. This study was financially supported according to Federal Target Program “Research and development on priority directions of scientific-technological complex of Russia for 2014-2020” (grant â„– RFMEFI57614X0068). Keywords: recommender system, formal conceptual CERIF model, hybrid user profile JEL Classifications: M15, M12, O32 https://www.econjournals.com/index.php/irmm/article/view/2962 |
| spellingShingle | A.I. Guseva V.S. Kireev P.V. Bochkarev D.S. Smirnov S.A. Filippov The Formation of User Model in Scientifi c Recommender Systems International Review of Management and Marketing |
| title | The Formation of User Model in Scientifi c Recommender Systems |
| title_full | The Formation of User Model in Scientifi c Recommender Systems |
| title_fullStr | The Formation of User Model in Scientifi c Recommender Systems |
| title_full_unstemmed | The Formation of User Model in Scientifi c Recommender Systems |
| title_short | The Formation of User Model in Scientifi c Recommender Systems |
| title_sort | formation of user model in scientifi c recommender systems |
| url | https://www.econjournals.com/index.php/irmm/article/view/2962 |
| work_keys_str_mv | AT aiguseva theformationofusermodelinscientificrecommendersystems AT vskireev theformationofusermodelinscientificrecommendersystems AT pvbochkarev theformationofusermodelinscientificrecommendersystems AT dssmirnov theformationofusermodelinscientificrecommendersystems AT safilippov theformationofusermodelinscientificrecommendersystems AT aiguseva formationofusermodelinscientificrecommendersystems AT vskireev formationofusermodelinscientificrecommendersystems AT pvbochkarev formationofusermodelinscientificrecommendersystems AT dssmirnov formationofusermodelinscientificrecommendersystems AT safilippov formationofusermodelinscientificrecommendersystems |